Character association and path analysis for seed yield and its components in roselle (Hibiscus sabdariffa L.) in North Coastal Zone of Andhra Pradesh, India

Correlation and path coefficient analysis will help to identify component characters in a breeding programme whose selection would result in the improvement of complex traits that are positively correlated. Keeping this in view, this study was conducted for assessing the relationship between traits and evaluating the direct and indirect contributions of these traits to seed yield improvement in roselle.

Int.J.Curr.Microbiol.App.Sci (2017) 6(7): 372-378 International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume Number (2017) pp 372-378 Journal homepage: http://www.ijcmas.com Original Research Article https://doi.org/10.20546/ijcmas.2017.607.044 Character Association and Path Analysis for Seed Yield and its Components in Roselle (Hibiscus sabdariffa L.) in North Coastal Zone of Andhra Pradesh, India N Hari Satyanarayana1*, V Visalakshmi3, K.V Ramana Murthy3, K Madhu Kumar3, J Jagannadham1, A Upendra Rao3 and N Venugopala Rao2 Agricultural Research Station, Amadalavalasa, Srikakulam District, A P – 532 185, India Regional Agricultural Research Station (North Coastal Zone), Anakapalle, A.P – 531 001, India Agricultural Research Station, Ragolu, Srikakulam District, A P – 532 484, India *Corresponding author ABSTRACT Keywords Correlation, Direct and indirect effects, North Coastal zone, Roselle, Seed yield Article Info Accepted: 04 June 2017 Available Online: 10 July 2017 An experiment was conducted during kharif 2013 and 2014 in North Coastal Zone of Andhra Pradesh at Agricultural Research Station, Ragolu, Srikakulam district to study the character association among quantitative traits and their direct and indirect effects on seed yield in a set of 60 genotypes of roselle (Hibiscus sabdariffa L.) The quantitative traits pods plant-1, base diameter, seeds pod-1, plant height, mid diameter, nodes plant-1 and test weight were found to be highly significant and positively correlated with the dependent variable, seed yield Partitioning of phenotypic correlation coefficients of various components upon seed yield plant-1 into direct and indirect contributions revealed that pods plant-1 has maximum direct effect followed by seeds pod-1 and test weight Selection for characters viz., pods plant-1, seeds pod-1, test weight, plant height and base diameter along with seed yield will be useful for improving seed yield in roselle Introduction Roselle (Hibiscus sabdariffa L.) belongs to the family Malvaceae; native to Asia (India to Malaysia) or Africa; and is an annual or biennial plant cultivated in Tropical and SubTropical regions for its stem, fibres, edible calyces, leaves and seeds (Mahadevan et al., 2009) Roselle is a tetraploid species with 2n=4x=72 (Sabiel et al., 2014) and proved its importance in fibre industries, preparation of medicines and in culinaries to make favourable dishes from its edible parts in many countries Roselle fibre blended with jute is used in the manufacture of jute goods viz., cordage, sacking, hessian, canvas and rough sacks, ropes, twines, fishing nets etc The stalks were used in making paper pulp, structural boards, as a blend for wood pulp and thatching huts (Juhi Agarwal and Ela Dedhia, 2014) Roselle seed oil is richer in carotenoids than expensive oils like niger and coriander seed oil (Ramada and Morsel, 2014) Carotenoids are important ingredients in cosmetic industries due to their antioxidant activity and protective effect on the skin 372 Int.J.Curr.Microbiol.App.Sci (2017) 6(7): 372-378 (Platon, 1997) Roselle seed flour can prevent cancer, lower blood pressure and improve the digestive systems in humans (Karma and Chavan, 2017) Since, roselle is mostly used for its fibre in India, research efforts were made only on fibre yield and its contributing traits by researchers till date and there is every need to study on seed yield and its contributing characters as seed is also being used as raw material in many industries diameter (mm), days to 50% flowering, pods plant-1, seeds pod-1, test weight (g) and seed yield plant-1 (g) Correlations were calculated as suggested by Johnson et al., (1955) The phenotypic correlations were used to find out the direct and indirect effects of the component characters on fibre yield per plant, according to Dewey and Lu (1959) Generally, success of any crop improvement program largely depends on the magnitude of genetic variability within the traits, relationship between the traits and also direct and indirect contributions of these traits for the dependant variable, yield Correlation and path coefficient analysis will help to identify component characters in a breeding programme whose selection would result in the improvement of complex traits that are positively correlated Keeping this in view, this study was conducted for assessing the relationship between traits and evaluating the direct and indirect contributions of these traits to seed yield improvement in roselle The analysis of variance revealed significant difference among the genotypes for all the nine characters studied (Table 1) Phenotypic (simple) correlation analysis is carried for all possible combination of characters to obtain information about relationship and intensity existing among them Phenotypic correlation coefficients for different pairs of characters are given in table In 2013, highly significant positive association of seed yield plant-1 was observed with pods plant-1, seeds pod-1, plant height and base diameter; whereas in 2014 the traits pods plant-1, test weight, mid diameter, base diameter and nodes plant-1 were highly significant with positive association for seed yield-1 These results are in agreement with Dastidar et al., (1993), Islam et al., (2001), Palve et al., (2003), Echekwu and Showemino (2004), Ali and Sasmal (2006), Ibrahim and Hussein (2006), Pervin and Haque (2012), Ibrahim et al., (2013), Rupal et al., (2017) and Shiva Kumar et al., (2017) All the remaining traits were non-significant with the dependent variable seed yield and no variable was proved to be significant in a negative direction This suggests selecting for the characters with high positive correlation would improve the seed yield in roselle Results and Discussion Materials and Methods Sixty roselle (Hibiscus sabdariffa L.) genotypes consisting of eleven exotic lines; four released varieties and 45 indigenous accessions were evaluated in North Coastal zone, Andhra Pradesh at Agricultural Research Station, Ragolu (Latitude 180 24’ N; Longitude 83 840 E at an altitude of 27m above mean sea level) during early kharif seasons in 2013 and 2014 The experimental trial was laid out in randomized block design with a plot size of four rows of 2m length in two replications with a spacing of 30 x 10cm under rainfed conditions Recommended package of practices was followed to raise a good crop Data on the basis of five randomly selected competitive plants were recorded on plant height (cm), base diameter (mm), mid Plant height exhibited significant positive association with base diameter, mid diameter, nodes plant-1, pods plant-1 and seed yield plant-1 for both the years, whereas, test weight showed highly significant negative 373 Int.J.Curr.Microbiol.App.Sci (2017) 6(7): 372-378 association with plant height Base diameter recorded positive significant association with plant height, mid diameter, nodes plant-1, pods plant-1 and seed yield plant-1 for both years, whereas, days to 50% flowering showed significant positive relation in the year 2014 only flowering, pods plant-1 and seeds pod-1 From inter-relationship studies it was evident that pods plant-1, seeds pod-1, plant height, base diameter, test weight, mid diameter and nodes plant-1 were having significant positive association for the trait seed yield, hence, selection for these characters is fruitful Mid diameter exhibited positive significant association with plant height, base diameter, nodes plant-1 and pods plant-1, whereas, days to 50% flowering and seed yield plant-1 showed significant positive relation in the year 2014 only Nodes plant-1 exhibited significant positive association with plant height, base diameter, mid diameter and pods plant-1, whereas, seed yield plant-1 showed significant positive relation in the year 2014 only; however, days to 50% flowering showed significant negative association with nodes plant-1 Partitioning of correlation coefficients for various component characters with seed yield into direct and indirect effects (Table 3) revealed that pods plant-1 (0.9038 and 0.9169) has maximum direct effect on seed yield followed by seeds pod-1 (0.3180 and 0.2144) and test weight (0.2623 and 0.2998) which are in conformity with Dastidar et al., (1993), Islam et al., (2001), Echekwu and Showemino (2004), Pervin and Haque (2012) and Rupal et al., (2017) High correlation coefficient of pods plant-1 (0.926 and 0.939) with seed yield was majorly due to its own direct effect; whereas, for seeds pod-1 (0.507 in 2013) it was due to its own direct effects (0.3180) coupled with indirect effects through the trait pods plant-1 (0.2634) Similarly, high correlation coefficient of test weight (0.330 in 2014) with seed yield was majorly due to its own direct effect coupled with indirect effects through the trait pods plant-1 (0.1109) Days to 50% flowering exhibited significant positive correlation with plant height, base diameter, mid diameter and pods plant-1 in the year 2014 and negatively significant for test weight in both years Pods plant-1 exhibited significant positive correlation with all the traits except for test weight By this it is evident that selection for these characters would increase the seed yield of roselle Plant height recorded high correlation coefficient (0.448) in 2013 which was due to the indirect effects through pods plant-1 (0.4467) and seeds pod-1 (0.1008) Likewise, for base diameter (0.330 and 0.258), significant correlation coefficients were majorly due to the indirect effects of pods plant-1(0.3569 and 0.2496) Significant correlation coefficient for mid diameter in 2014 (0.269) was majorly due to the indirect effects through pods plant-1(0.2070) coupled with its own direct effect (0.0485); similarly, for nodes plant-1 (0.248) in 2014, pods plant-1 (0.2510) played significant role indirectly Seed pod-1 has significant positive association with plant height, pods plant-1 and seed yield in 2013 only and negative significant association was recorded with test weight in 2013 and 2014; whereas, it recorded nonsignificant association for rest of the quantitative traits Test weight recorded significant positive correlation with seed yield plant-1 in 2014, whereas, showed significant negative association with plant height, days to 50% 374 Int.J.Curr.Microbiol.App.Sci (2017) 6(7): 372-378 Table.1 Analysis of variance for nine characters in roselle (Hibiscus sabdariffa L.) during 2013 and 2014 Source of variations df Replications Genotypes 59 Error 59 Year Plant height (mm) Base diameter (mm) Mid diameter (mm) 2013 2014 2013 2014 2013 2014 104.533 342.616 2985.83** 3560.94** 295.615 348.236 2.189 1.859 7.50** 11.77** 3.152 3.117 1.587 0.126 3.67* 3.98** 2.082 1.628 Nodes plant-1 Days to 50% flowering Pods plant-1 Mean sum of squares 18.408 1.408 1.633 11.408 10.208 4.256 44.83* 118.05** 237.11** 117.17** 52.10** 56.79** 28.697 13.292 6.386 43.174 20.145 3.779 Seeds pod1 Test weight (g) Seed yield (g) 0.033 0.8 27.00** 15.88** 1.784 3.135 0.008 2.269 18.24** 18.01** 1.572 2.756 0.641 0.063 55.05** 14.76** 1.332 0.814 Table.2 Phenotypic correlation coefficients between seed yield and its component characters in roselle (Hibiscus sabdariffa L.) in 2013 and 2014 Character Plant height (cm) 2013 2014 Plant height (cm) 1.000 1.000 Base diameter (mm) 0.513** 0.729** Mid diameter (mm) 0.182* 0.651** 0.310** 0.464** Days to 50% flowering -0.017 0.383** Pods per plant 0.494** 0.219* Seeds per pod 0.317** 0.135 Test weight (g) -0.444** -0.329** Seed yield (g) 0.448** 0.139 0.100 -0.142 0.330** Nodes / plant Base diameter (mm) 2013 1.000 0.238** 0.279** -0.064 0.395** 2014 1.000 0.826** 0.509** 0.234** 0.272** 0.138 -0.089 0.258** Mid diameter (mm) 2013 1.000 0.429** -0.036 0.186* -0.022 0.038 0.160 2014 1.000 Nodes / plant Days to 50% flowering Pods per plant Seeds per pod Test weight (g) Seed yield (g) 0.446** 0.181* 0.226* 0.121 0.051 0.269** 2013 1.000 -0.197* 0.182* 0.040 -0.070 0.162 2014 1.000 0.143 0.274** 0.066 -0.027 0.248** 2013 1.000 -0.128 0.163 -0.234* -0.143 2014 1.000 0.186* -0.005 -0.262** -0.084 2013 1.000 0.291** -0.287** 0.926** 2014 1.000 -0.059 0.121 0.939** 2013 1.000 -0.306** 0.507** 2014 1.000 -0.400** 0.043 2013 1.000 -0.102 2014 2013 2014 1.000 0.330** 1.000 1.000 *Significant at 5% level, **Significant at 1% level 375 Int.J.Curr.Microbiol.App.Sci (2017) 6(7): 372-378 Table.3 Direct and indirect contributions of component characters for seed yield in roselle (Hibiscus sabdariffa L.) in 2013 and 2014 Character Plant height Base Mid Nodes / Days to Pods per Seeds Test weight Correlation (cm) diameter diameter plant flowering plant per pod (g) with seed yield (mm) (mm) Plant 2013 0.0388 -0.0210 -0.0018 0.0011 0.0003 0.4467 0.1008 -0.1165 0.448** height 2014 0.0098 -0.0217 0.0316 -0.0086 -0.0040 0.2009 0.0290 -0.0986 0.139 Base (cm) 2013 0.0199 -0.0410 -0.0024 0.0009 0.0013 0.3569 0.0318 -0.0373 0.330** diameter 2014 0.0072 -0.0298 0.0401 -0.0094 -0.0024 0.2496 0.0296 -0.0266 0.258** Mid (mm) 2013 0.0071 -0.0098 -0.0099 0.0015 0.0007 0.1678 -0.0072 0.0100 0.160 diameter 2014 0.0064 -0.0246 0.0485 -0.0082 -0.0019 0.2070 0.0259 0.0154 0.269** Nodes (mm) / 2013 0.0120 -0.0114 -0.0043 0.0034 0.0038 0.1643 0.0129 -0.0184 0.162 plant 2014 0.0046 -0.0152 0.0216 -0.0185 -0.0015 0.2510 0.0142 -0.0080 0.248** Days to 2013 -0.0007 0.0026 0.0004 -0.0007 -0.0194 -0.1160 0.0517 -0.0614 -0.143 flowering 2014 0.0038 -0.0070 0.0088 -0.0026 -0.0104 0.1710 -0.0011 -0.0784 -0.084 Pods per 2013 0.0192 -0.0162 -0.0018 0.0006 0.0025 0.9038 0.0927 -0.0752 0.926** plant 2014 0.0022 -0.0081 0.0109 -0.0051 -0.0019 0.9169 -0.0126 0.0363 0.939** Seeds per 2013 0.0123 -0.0041 0.0002 0.0001 -0.0032 0.2634 0.3180 -0.0803 0.507** pod 2014 0.0013 -0.0041 0.0059 -0.0012 0.0001 -0.0538 0.2144 -0.1199 0.043 Test 2013 -0.0172 0.0058 -0.0004 -0.0002 0.0046 -0.2591 -0.0974 0.2623 -0.102 weight (g) 2014 -0.0032 0.0026 0.0025 0.0005 0.0027 0.1109 -0.0857 0.2998 0.330** Bold: Direct effects, Residual effect: 2.34% (2013) and 4.01% (2014) 376 Int.J.Curr.Microbiol.App.Sci (2017) 6(7): 372-378 The value of residual effects was low (2.34% and 4.01%) suggesting that most of the total variations for seed yield in roselle were explained Finally, the path coefficient analysis revealed importance of pods plant-1, seeds pod-1 and test weight for their contribution either directly or indirectly to seed yield and hence, during selection these traits should be given utmost attention for developing of high seed yielding roselle varieties 326 Ibrahim, E.B., Abdel, W.H.A., Elshiekh, A.I and Ahmed M.E.N 2013 Interrelationship between yield and its components in some roselle (Hibiscus sabdariffa L.) genotyoes World J Agric Res., 1(6): 114-118 Ibrahim, M.M and Hussein, R.M 2006 Variability, heritability and genetic advance in some genotypes of roselle (Hibiscus sabdariffa L.) World J Agric Sci., 2(3): 340-345 Islam, M.S., Uddin, M.N., Haque, M.M., Islam, M.N 2001 Path coefficient analysis for some fibre yield related traits in white jute (Corchorus capsularis L.) Pakistan J Biological Sci 4(1): 47-49 Johnson, H.W., Robinson, H.F and Comstock, R.F 1955 Estimates of genetic and environmental variability in soybean Agron J., 47: 314-318 Juhi Agarwal and Ela Dedhia 2014 Current scenario of Hibiscus sabdariffa (Mesta) in India (Maharastra) The Inter J Social Sci Humanities Invention 1(3): 129-135 Karma, B.R and Chavan, U.D 2017 Antioxidant Activity and Nutritional Value of Roselle Seeds Flour Int J Curr Microbiol App Sci., 6(4): 26542663 Mahadevan, N., Shivali and Pradeep, K 2009 Hibiscus sabdariffa Linn – An overview Natural Product Radiance 8(1): 77-83 Palve, S.M and Sinha, M.K 2005 Genetic variation and interrelationships among fibre yield attributes in secondary genepool of Corchorus spp SABRAO J Breeding and Genetics, 37(1): 55-64 Pervin, N., Haque G.K., 2012 Path coefficient analysis for fibre yield related traits in Deshi jute (Corchorus capsularis L.) IRJALS, 1(3): 72-77 Platon, J.F (1997) Lipids in Cosmetology In conclusion, based on character association and path analysis studies seed yield plant-1 may be improved by selection of tall plants coupled with high pods plant-1 having strong base and mid diameter with more number of seeds and high test weight Acknowledgement The authors are highly thankful to the authorities of ANGRAU, Andhra Pradesh for providing necessary help and infrastructural facilities to undertake this study References Ali, M.N and Sasmal, B.G 2006 Association of seed yield and its components in segregating population of tossa jute (Corchorus olitorius) Agric Sci Digest, 26(3): 206-208 Dastidar, K.K.G., Agarwalla, K.K and Roychowdhury P 1993 Genetic variability and association component characters for seed yield in Olitorius jute Indian J Genet., 53(2): 157-160 Dewey, D.R and Lu, K.H 1959 A correlation and path coefficient analysis of components of crested wheat grass seed production Agron J., 51: 515-518 Echekwu, C.A and Showemimo, F.A 2004 Genetic, Phenotypic and environmental variances and character association in kenaf African Crop Sci J., 12(4): 321377 Int.J.Curr.Microbiol.App.Sci (2017) 6(7): 372-378 Ol Corps Gras Lipid, 4: 275-281 Ramadan, M.F and Morsel, J.T 2004 Oxidative stability of black cumin (Nigella sativa L.), coriander (Coriandrum sativum L.) and niger (Guizotia abyssinica Cass.) crude seed oils upon stripping Eur J Lipid Sci Technol., 106: 35-43 Rupal, D., Modha, K.G., Dhirendra Kumar and Meenakshi Dhoot 2017 Correlations and Path analysis studies on yield and its components in Mungbean (Vigna radiata (L.) Wilczek) Int J Curr Microbial App Sci 6(5): 370-378 Sabiel, S.A.I., Ismail, M.I., Osman, A and Sun, D 2014 Genetic variability for yield and related attributes of roselle (Hibiscus sabdariffa L.) genotypes under rainfed condition in a Semi-arid zone of Sudan Persian Gulf Crop Protection 3(1): 33-40 Shiva Kumar, K., Nidagundi, J.M and Hosamani, A.C 2017 Correlation analysis for Agro-Morphological Features in Upland Cotton under rainfed conditions Int J Curr Microbiol App Sci 6(5): 2593-2596 How to cite this article: Hari Satyanarayana, N., V Visalakshmi, K.V Ramana Murthy, K Madhu Kumar, J Jagannadham, A Upendra Rao and Venugopala Rao, N 2017 Character Association and Path Analysis for Seed Yield and its Components in Roselle (Hibiscus sabdariffa L.) in North Coastal Zone of Andhra Pradesh, India Int.J.Curr.Microbiol.App.Sci 6(7): 372-378 doi: https://doi.org/10.20546/ijcmas.2017.607.044 378 ... Rao and Venugopala Rao, N 2017 Character Association and Path Analysis for Seed Yield and its Components in Roselle (Hibiscus sabdariffa L.) in North Coastal Zone of Andhra Pradesh, India Int.J.Curr.Microbiol.App.Sci... 375 Int.J.Curr.Microbiol.App.Sci (2017) 6(7): 372-378 Table.3 Direct and indirect contributions of component characters for seed yield in roselle (Hibiscus sabdariffa L.) in 2013 and 2014 Character. .. Since, roselle is mostly used for its fibre in India, research efforts were made only on fibre yield and its contributing traits by researchers till date and there is every need to study on seed